Non-word Attributes’ Efficiency in Text Mining Authorship Prediction
Literature scripts can be compared to paintings, in an artistic way as well as in the perspective of financial value, whereas the value of these scripts rise and fall depending on their author’s popularity. Authors’ scripts represent a specific style of writing that can be measured and compared using a text mining field called Stylometric. Stylometric analysis depends on some features called authorship attributes, and these attributes or features can be used in special algorithms and methods to reach that aim. Generally, each method selected in the Stylometric field uses a variety of attribute... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2019 |
Reihe/Periodikum: | Journal of Intelligent Systems, Vol 29, Iss 1, Pp 1408-1415 (2019) |
Verlag/Hrsg.: |
De Gruyter
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Schlagwörter: | machine learning / stylometric / authorship attribution / saba / non-word attribute / Science / Q / Electronic computers. Computer science / QA75.5-76.95 |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26894448 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.1515/jisys-2019-0068 |